To reliably complete household chores, assemble products and tackle other manual tasks, robots should be able to adapt their ...

The boundaries between consumer convenience and algorithmic misjudgment are narrowing. Devices designed for wildlife ...

From AI-powered boating to brainwave biometrics, Europe’s founders are using CES’s final day to pitch practical tech with ...

Aqara, a global leader and pioneer in IoT, today unveiled its cutting-edge innovations in intelligent space technology at CES 2026 (Booth #51229, Halls A-D, Venetian Expo). Aqara's demonstration ...

The following details transformation of open source raw data files from the Human Activity Recognition using Smartphones dataset in the UCI Machine Learning Repository from their initial raw component ...

An E.P.A. site listing the causes of climate change no longer includes the main one: human activity. By Lisa Friedman The Environmental Protection Agency has quietly removed the fact that human ...

An outage that took down markets operated by CME Group Inc. for more than 10 hours at the end of last week was caused by human error at a data center owned by ...

Abstract: Human activity recognition (HAR) is an innovative technology that leverages sensors and computer systems to monitor and analyze human activities across various environments and workspaces.

Archetype AI Inc., a startup that provides artificial intelligence agents optimized to process sensor data, has raised $35 million in early-stage funding. IAG Capital Partners and Hitachi Ventures led ...

Elon Musk’s Optimus Robots are currently Looney Tunes slapstick disasters. But there’s a massive effort behind the scenes to make sure they don’t stay clumsy clankers forever. Enter Tesla’s secret lab ...

World’s First IND Approval in Oncology Based Solely on Human Vascularized Organoid Efficacy Data Confirms Shift Toward Human-Relevant Preclinical Testing SAN DIEGO, Calif. – October 27, 2025 – ...

Abstract: This letter presents a robust human activity recognition (HAR) framework for smart home environments, using multimodal sensor fusion and advanced spatio-temporal deep learning modeling. The ...